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Globally convergent autocalibration
Proceedings Ninth IEEE International Conference on Computer Vision, 2003Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where an interval branch-and-bound method is employed for numerical minimization.
Benedetti, A. +3 more
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Numerical Functional Analysis and Optimization, 1997
Global convergence results are proved for Newton's method and for a modified Newton method applied to nonsmooth systems of equations that satisfy some convexity conditions. Numerical experiments are presented showing that the theoretical results explain computational performance.
A. Márcia +2 more
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Global convergence results are proved for Newton's method and for a modified Newton method applied to nonsmooth systems of equations that satisfy some convexity conditions. Numerical experiments are presented showing that the theoretical results explain computational performance.
A. Márcia +2 more
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A globally convergent adaptive predictor
Automatica, 1981This paper establishes global convergence for an adaptive prediction algorithm. Key features of the algorithm are (i) a priori residuals are used in the regression vector, (ii) the input signal need not be persistently exciting, (iii) only an upper bound is required on the system order, (iv) no monitoring or projection procedure is required to ...
Graham C. Goodwin +2 more
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Global convergence and rate of convergence of a method of centers
Computational Optimization and Applications, 1994zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Global convergence of Karnik–Mendel algorithms
Fuzzy Sets and Systems, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shilian Han, Xinwang Liu 0001
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A Global Convergence Against Globalization?
New Perspectives Quarterly, 2009The Iranian revolution—the political realization of the “Great Refusal” of Western modernization—was a direct consequence a half century later of the forced secularization of the Ottoman Caliphate by Kemal Ataturk. With the superstructure of the Muslim ummah dismantled and replaced by the Turkish nation state, insurgent religious movements, from the ...
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Globalization and Income Convergence [PDF]
SSRN Electronic Journal, 2014 The income convergence literature suggests that poor countries can catch-up to rich ones conditional on sharing certain characteristics with rich countries. Good institutions such as strong property rights and rule-of-law are key amongst those characteristics.
Kaitlyn R. Wolf, Andrew T. Young
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A Globally Convergent Stochastic Approximation
SIAM Journal on Control and Optimization, 1993Summary: By combining a constrained Kiefer-Wolfowitz search with an automatic learning algorithm, it is shown that asymptotically normal convergence of an estimator to a global optimum under reasonably lenient assumptions can be attained. It is enough that the objective function be smooth and locally strictly convex at its minima.
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Globally Convergent Algorithms for Convex Programming
Mathematics of Operations Research, 1981We consider solving a (minimization) convex program by sequentially solving a (minimization) convex approximating subproblem and then executing a line search on an exact penalty function. Each subproblem is constructed from the current estimate of a solution of the given problem, possibly together with other information. Under mild conditions, solving
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Coevolutionary Convergence to Global Optima
2003We discuss a theory for a realistic, applicable scaled genetic algorithm (GA) which converges asymptoticly to global optima in a coevolutionary setting involving two species. It is shown for the first time that coevolutionary arms races yielding global optima can be implemented successfully in a procedure similar to simulated annealing.
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